Mingrui Zhang
11 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Keywords
mesh movement
(2)
graph attention network
(2)
partial differential equation
(2)
submodular maximization
(2)
image generation
(1)
convex optimization
(1)
learning theory
(1)
differentiable programming
(1)
adversarial robustness
(1)
bandit feedback
(1)
quadratic programming
(1)
optical flow
(1)
monte carlo tree search
(1)
derivative-free optimization
(1)
online algorithm
(1)
probability distribution
(1)
regret bound
(1)
tree structure
(1)
convergence rate
(1)
adversarial training
(1)
Papers
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
ACL 2026
Towards Universal Mesh Movement Networks
NeurIPS 2024
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
ICML 2022
M2N: Mesh Movement Networks for PDE Solvers
NeurIPS 2022
SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage
CVPR 2022
Black Box Submodular Maximization: Discrete and Continuous Settings
AISTATS 2020
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
ICML 2020
One Sample Stochastic Frank-Wolfe
AISTATS 2020
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
AISTATS 2020
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
NeurIPS 2019
Projection-Free Bandit Convex Optimization
AISTATS 2019